Triple
T7592707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neither One of Us (Wants to Be the First to Say Goodbye) |
E179776
|
entity |
| Predicate | hasRelationshipTypeDepicted |
P10690
|
FINISHED |
| Object | romantic couple |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: romantic couple | Statement: [Neither One of Us (Wants to Be the First to Say Goodbye), hasRelationshipTypeDepicted, romantic couple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationshipTypeDepicted Context triple: [Neither One of Us (Wants to Be the First to Say Goodbye), hasRelationshipTypeDepicted, romantic couple]
-
A.
portraysRelationship
Indicates that one entity depicts, represents, or illustrates a relationship between other entities.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
definesRelationshipBetween
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b92c348190b547f0aacfb8d6be |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.